V. D. Blondel, J. L. Guillaume, R. Lambiotte, and E. Lefebvre, Fast unfolding of communities in large networks, Journal of statistical mechanics: theory and experiment, issue.10, p.10008, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01146070

H. H. Chen and C. L. Giles, ASCOS: an asymmetric network structure context similarity measure, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp.442-449, 2013.

K. Dalleau, M. Couceiro, and M. Smail-tabbone, Unsupervised extremely randomized trees, Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp.478-489, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01667317

S. Dongen, A cluster algorithm for graphs, 2000.

P. Erdds and A. R&wi, On random graphs I, Publ. Math. Debrecen, vol.6, pp.290-297, 1959.

G. Jeh and J. Widom, SimRank: a measure of structural-context similarity, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pp.538-543, 2002.

J. Leskovec, J. Kleinberg, and C. Faloutsos, Graph evolution: Densification and shrinking diameters, ACM Transactions on Knowledge Discovery from Data (TKDD), vol.1, issue.1, 2007.

L. V. Maaten and G. Hinton, Visualizing data using t-SNE, Journal of machine learning research, vol.9, pp.2579-2605, 2008.

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion et al., Scikit-learn: Machine learning in Python, Journal of machine learning research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

S. E. Schaeffer, Graph clustering, Computer science review, vol.1, issue.1, pp.27-64, 2007.

K. M. Ting, Y. Zhu, M. Carman, Y. Zhu, and Z. H. Zhou, Overcoming key weaknesses of distance-based neighbourhood methods using a data dependent dissimilarity measure, Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, pp.1205-1214, 2016.

H. Yin, A. R. Benson, J. Leskovec, and D. F. Gleich, Local higher-order graph clustering, Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.555-564, 2017.